Thanks, Maxim. Leave my -1 for this release candidate.
Unfortunately, I don't know which PR fixed this. Does anyone happen to know? BR, Kent Yao Maxim Gekk <maxim.g...@databricks.com> 于2022年5月19日周四 13:42写道： > > Hi Kent, > > > Shall we backport the fix from the master to 3.3 too? > > Yes, we shall. > > Maxim Gekk > > Software Engineer > > Databricks, Inc. > > > > On Thu, May 19, 2022 at 6:44 AM Kent Yao <y...@apache.org> wrote: >> >> Hi, >> >> I verified the simple case below with the binary release, and it looks >> like a bug to me. >> >> bin/spark-sql -e "select date '2018-11-17' > 1" >> >> Error in query: Invalid call to toAttribute on unresolved object; >> 'Project [unresolvedalias((2018-11-17 > 1), None)] >> +- OneRowRelation >> >> Both 3.2 releases and the master branch work fine with correct errors >> - 'due to data type mismatch'. >> >> Shall we backport the fix from the master to 3.3 too? >> >> Bests >> >> Kent Yao >> >> >> Yuming Wang <wgy...@gmail.com> 于2022年5月18日周三 19:04写道： >> > >> > -1. There is a regression: https://github.com/apache/spark/pull/36595 >> > >> > On Wed, May 18, 2022 at 4:11 PM Martin Grigorov <mgrigo...@apache.org> >> > wrote: >> >> >> >> Hi, >> >> >> >> [X] +1 Release this package as Apache Spark 3.3.0 >> >> >> >> Tested: >> >> - make local distribution from sources (with ./dev/make-distribution.sh >> >> --tgz --name with-volcano -Pkubernetes,volcano,hadoop-3) >> >> - create a Docker image (with JDK 11) >> >> - run Pi example on >> >> -- local >> >> -- Kubernetes with default scheduler >> >> -- Kubernetes with Volcano scheduler >> >> >> >> On both x86_64 and aarch64 ! >> >> >> >> Regards, >> >> Martin >> >> >> >> >> >> On Mon, May 16, 2022 at 3:44 PM Maxim Gekk >> >> <maxim.g...@databricks.com.invalid> wrote: >> >>> >> >>> Please vote on releasing the following candidate as Apache Spark version >> >>> 3.3.0. >> >>> >> >>> The vote is open until 11:59pm Pacific time May 19th and passes if a >> >>> majority +1 PMC votes are cast, with a minimum of 3 +1 votes. >> >>> >> >>> [ ] +1 Release this package as Apache Spark 3.3.0 >> >>> [ ] -1 Do not release this package because ... >> >>> >> >>> To learn more about Apache Spark, please see http://spark.apache.org/ >> >>> >> >>> The tag to be voted on is v3.3.0-rc2 (commit >> >>> c8c657b922ac8fd8dcf9553113e11a80079db059): >> >>> https://github.com/apache/spark/tree/v3.3.0-rc2 >> >>> >> >>> The release files, including signatures, digests, etc. can be found at: >> >>> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc2-bin/ >> >>> >> >>> Signatures used for Spark RCs can be found in this file: >> >>> https://dist.apache.org/repos/dist/dev/spark/KEYS >> >>> >> >>> The staging repository for this release can be found at: >> >>> https://repository.apache.org/content/repositories/orgapachespark-1403 >> >>> >> >>> The documentation corresponding to this release can be found at: >> >>> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc2-docs/ >> >>> >> >>> The list of bug fixes going into 3.3.0 can be found at the following URL: >> >>> https://issues.apache.org/jira/projects/SPARK/versions/12350369 >> >>> >> >>> This release is using the release script of the tag v3.3.0-rc2. >> >>> >> >>> >> >>> FAQ >> >>> >> >>> ========================= >> >>> How can I help test this release? >> >>> ========================= >> >>> If you are a Spark user, you can help us test this release by taking >> >>> an existing Spark workload and running on this release candidate, then >> >>> reporting any regressions. >> >>> >> >>> If you're working in PySpark you can set up a virtual env and install >> >>> the current RC and see if anything important breaks, in the Java/Scala >> >>> you can add the staging repository to your projects resolvers and test >> >>> with the RC (make sure to clean up the artifact cache before/after so >> >>> you don't end up building with a out of date RC going forward). >> >>> >> >>> =========================================== >> >>> What should happen to JIRA tickets still targeting 3.3.0? >> >>> =========================================== >> >>> The current list of open tickets targeted at 3.3.0 can be found at: >> >>> https://issues.apache.org/jira/projects/SPARK and search for "Target >> >>> Version/s" = 3.3.0 >> >>> >> >>> Committers should look at those and triage. Extremely important bug >> >>> fixes, documentation, and API tweaks that impact compatibility should >> >>> be worked on immediately. Everything else please retarget to an >> >>> appropriate release. >> >>> >> >>> ================== >> >>> But my bug isn't fixed? >> >>> ================== >> >>> In order to make timely releases, we will typically not hold the >> >>> release unless the bug in question is a regression from the previous >> >>> release. That being said, if there is something which is a regression >> >>> that has not been correctly targeted please ping me or a committer to >> >>> help target the issue. >> >>> >> >>> Maxim Gekk >> >>> >> >>> Software Engineer >> >>> >> >>> Databricks, Inc. >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org >> --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
